Cited by 72Electronic Health Records SystemsPatient Safety and Medication ErrorsHealthcare Technology and Patient Monitoring

Understanding handling of drug safety alerts: a simulation study

van der Sijs, Heleen, van Gelder, Teun, Vulto, Arnold, Berg, Marc, Aarts, Jos·2010·International Journal of Medical Informatics

Abstract

Purpose To study correctness of drug safety alert handling and error type in a computerized physician order entry (CPOE) system in a simulated work environment. Methods Disguised observation study of 18 physicians (12 from internal medicine and 6 from surgery) entering 35 orders of predefined patient cases with 13 different drug safety alerts in a CPOE. Structured interviews about how the generated drug safety alerts were handled in the simulation test and resemblance of the test to the normal work environment. Handling and reasons for this were scored for correctness and error type. Results Thirty percent of alerts were handled incorrectly, because the action itself and/or the reason for the handling were incorrect. Sixty-three percent of the errors were categorized as rule based and residents in surgery used incorrect justifications twice as often as residents in internal medicine. They often referred to monitoring of incorrect substances or parameters. One alert presented as a second alert in one screen was unconsciously overridden several times. One quarter of residents showed signs of alert fatigue. Conclusion Although alerts were mainly handled correctly, underlying rules and reasoning were often incorrect, thereby threatening patient safety. This study gave an insight into the factors playing a role in incorrect drug safety alert handling that should be studied in more detail. The results suggest that better training, improved concise alert texts, and increased specificity might help. Furthermore, the safety of the predefined override reason 'will monitor' and double alert presentation in one screen is questioned.

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Crossref · 10.1016/j.ijmedinf.2010.01.008

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  • The cognitive overload model holds that alert fatigue is caused by receipt of a large quantity of information along with insufficient time or cognitive resources to distinguish relevant from irrelevant information.

    “One conceptual model, which we label cognitive overload, is that alert fatigue is caused by receipt of a large quantity of information along with insufficient time or cognitive resources to distinguish relevant from irrelevant information [7, 15].”
  • In a laboratory study, under time constraints, 8 of 211 alerts (13%) were handled incorrectly because of skill-based errors suggesting alert fatigue.

    “Under time constraints, 8 of 211 alerts (13%) were handled incorrectly because of skill-based errors (that is, automated actions without conscious attention) that suggested alert fatigue.”

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References 21 · Cited by 72

Authors
van der Sijs, H., van Gelder, T., Vulto, A., Berg, M., & Aarts, J.
Affiliations
  • Erasmus MC (NL)
  • Erasmus University Rotterdam (NL)
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2010-05
Volume
79
Issue
5
Pages
361-369
ISSN
1386-5056 (ISSN-L)
OpenAlex
W2142148397
Cited by
72
References
21
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 4 · 2018: 4 · 2017: 5 · 2016: 3 · 2015: 5 · 2014: 6 · 2013: 6 · 2012: 11
FWCI
19.67
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Medical Informatics (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
Keywords
drug safety warnings, computerized physician order entry, alarm fatigue, alert override, patient safety, internal medicine residents, surgical residents
MeSH terms
Attitude of Health Personnel, Computer Simulation, Drug Interactions, Drug Therapy, Computer-Assisted, Humans, Medication Errors, Drug Prescriptions, Reminder Systems, Decision Support Systems, Clinical, Medical Order Entry Systems, Drug Overdose, Drug-Related Side Effects and Adverse Reactions

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